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Senior Data Scientist Client Analytics

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What you’ll work on

Full posting
  • Analyze large volumes of web, transaction and customer data, cleansing and modeling it

  • Design and implement machine learning and deep neural network models

  • Own end-to-end marketing models such as churn, CLV, propensity and affinity

  • Build machine learning pipelines in Azure Data Factory

  • Create data visualizations that link findings to client business impact

From the employer’s posting
Perform hands-on analysis of large volumes of web analytics, transaction, customer data, second and third-party data.
Design and Implement Machine learning models using Spark ML, Python, Map-Reduce, Hive, HDFS, Spring, Hibernate and Java
Own end to end implementations of multiple Marketing machine learning models such as Churn, CLV, Propensity, Affinity models.
Develop machine learning pipelines with big data design principles in MS Azure cloud using Azure Data Factory
Create engaging and meaningful data visualizations of findings linked to clear client business impact.
Apply at Publicis Groupe

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 7, 2026
Employer says posted
Nov 3, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 7 and day 57.

From 10,541 similar postings that came down. Coming down is not always a hire.

Publicis Groupe is hiring

225 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • R
  • Azure
  • Databricks
  • Hadoop
  • Hive
  • Spark
  • Keras
  • PyTorch
  • TensorFlow
  • AWS
Where the posting names them
Work with complex data structure, manipulate, cleanse data and perform statistical analysis Design and Implement Machine learning models using Spark ML, Python, Map-Reduce, Hive, HDFS, Spring, Hibernate and Java Design and implement Deep neural network models using Tensorflow, Pytorch, Keras and Python Create engaging and meaningful data visualizations of findings linked to clear client business impact.
You welcome the challenge of data science and are proficient in Python, Spark MLLib, Tensorflow, Keras, ML algortihms and Deep Neural Networks, Big Data.
6-10 years of total IT experience with 5+ years in a data science role with demonstrable experience Deep experience in machine learning Strong experience in at least one programming language (i.e. Python, R) Understanding and experience working with cloud infrastructure services like Azure and Amazon Web Services.
Develop machine learning pipelines with big data design principles in MS Azure cloud using Azure Data Factory Own end to end implementations of multiple Marketing machine learning models such as Churn, CLV, Propensity, Affinity models.
Azure preferred.
Langchain and agentic workflows is a plus Qualifications Experience with large scale distributed databases and computing systems like Hadoop, HDInsight or DataBricks Strong passion for understanding key business problems, bringing together a team to understand data/ instrumentation needs and/or mine through data to unearth deep insights into customer experiences Proven capability to deliver end-to-end analyses by asking the right questions, extracting data, and building predictive models to ensure actionable results.

Your next step

Complete your application on epsilon-publicisgroupe.icims.com. The employer’s form will show what is required.

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Overview About the Business Unit: Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive. Job summary: PeopleCloud Customer is a world-class cloud-based Customer Data Platform (CDP) fully enabled with a complete Marketing Automated Operating System (MAOS). The PeopleCloud Customer platform provides out-of-the-box SaaS and PaaS products that are fully integrated, including Customer Identity services, Deterministic and Probabilistic Customer Record stitching services and Marketing Machine Learning algorithms and models trained to deliver personalized activation at scale. The PeopleCloud Customer team is looking for a talented team player in a Senior Data Scientist. You are an expert, mentor and advocate. You have strong machine learning and deep learning background and are passionate about transforming data into ml models. You welcome the challenge of data science and are proficient in Python, Spark MLLib, Tensorflow, Keras, ML algortihms and Deep Neural Networks, Big Data. You must be self-driven, take initiative and want to work in a dynamic, busy and innovative group. You will work with a distributed team (onshore and offshore) and work closely with a broadly talented team of delivery management, business analysts, visual designers, analytics, developers, and QA. You will work directly with clients to own data science solutions as a member of the COSMOS Cognitive Marketing Intelligence Cloud Platform team, and will operate as part of the product team to extend the Platform functionality when not supporting client projects. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. Responsibilities Perform hands-on analysis of large volumes of web analytics, transaction, customer data, second and third-party data. Work with complex data structure, manipulate, cleanse data and perform statistical analysis Design and Implement Machine learning models using Spark ML, Python, Map-Reduce, Hive, HDFS, Spring, Hibernate and Java Design and implement Deep neural network models using Tensorflow, Pytorch, Keras and Python Create engaging and meaningful data visualizations of findings linked to clear client business impact. Develop machine learning pipelines with big data design principles in MS Azure cloud using Azure Data Factory Own end to end implementations of multiple Marketing machine learning models such as Churn, CLV, Propensity, Affinity models. Exposure to Gen AI infrastructure using RAG. Langchain and agentic workflows is a plus Qualifications Experience with large scale distributed databases and computing systems like Hadoop, HDInsight or DataBricks Strong passion for understanding key business problems, bringing together a team to understand data/ instrumentation needs and/or mine through data to unearth deep insights into customer experiences Proven capability to deliver end-to-end analyses by asking the right questions, extracting data, and building predictive models to ensure actionable results. Expertise in predictive analytics/statistical modeling/data mining/machine learning algorithms and techniques (classification, clustering, regression, multivariate testing) Excellent communication & interpersonal skills with an ability to communicate ideas. MS in Computer Science, Math, Physics, or equivalent education/professional experience is required. 6-10 years of total IT experience with 5+ years in a data science role with demonstrable experience Deep experience in machine learning Strong experience in at least one programming language (i.e. Python, R) Understanding and experience working with cloud infrastructure services like Azure and Amazon Web Services. Azure preferred. Experience working with code repositories and continuous integration (i.e. Git, Jenkins, etc.) Strong passion for understanding key business problems, bringing together the team to understand data/ instrumentation needs and/or mine through data to unearth deep insights into customer experiences Excellent communication & interpersonal skills with an ability to communicate ideas, insights and complicated analysis effectively at all organizational levels, include engineering leadership Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. Our pillars aren't just words. They're how we show up every day. People centricity: We focus on employee well-being in an environment where colleagues truly care about each other. Collaboration: We work together, support one another, and collectively achieve goals. Growth: There are endless opportunities for growth through learning, development and career advancement. Innovation: We drive progress through cutting-edge solutions and forward-thinking approaches. Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Our values guide us to create value for our clients, our people and consumers. Act with integrity Work together to win together Innovate with purpose Respect all voices Empower with accountability These pillars and values are our foundation—shaping our culture, guiding our decisions, and uniting us in common purpose. Epsilon is an Equal Opportunity Employer. Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.
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Bengaluru, Karnataka, IN

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